Youyu Liu
Papers
3
Total Citations
20
H-Index
2
About
Youyu Liu is a rising researcher in the field of robotics and control systems, with a primary focus on the development of intelligent, adaptive control strategies for lower limb exoskeleton robots. His work addresses the critical challenge of ensuring robust and safe human-robot interaction in the presence of unknown and time-varying uncertainties. Liu’s major contributions include the proposal of a novel leakage-type adaptive mechanism for robust tracking control, which offers superior performance over conventional adaptive methods by effectively handling fast-changing system dynamics. He has also pioneered the application of game-theoretic principles, specifically a leader-follower Stackelberg game, to design an adaptive robust constraint-following controller for fuzzy exoskeleton systems, ensuring that the robot adheres to critical performance constraints. Beyond control theory, Liu has contributed to mobile robotics by developing an Improved Grey Wolf Optimization (IGWO) algorithm for path planning, which enhances convergence speed and global search capabilities. With his most cited works accumulating over 20 citations, Liu is establishing himself as a promising innovator in adaptive control and robotic systems.
Research Focus
Key Achievements
Top Papers
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